Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software
Reference58 articles.
1. Li Z, Zou D, Xu S, Jin H, Qi H, Hu J. Vulpecker: an automated vulnerability detection system based on code similarity analysis. In: Proceedings of the 32nd Annual conference on computer security applications. 2016, p. 201–13.
2. Software vulnerability discovery via learning multi-domain knowledge bases;Lin;IEEE Trans Dependable Secure Comput,2019
3. Li Z, Zou D, Xu S, Ou X, Jin H, Wang S, et al. Vuldeepecker: A deep learning-based system for vulnerability detection. In: Proceedings of the 2018 Network and distributed system security symposium. 2018, http://dx.doi.org/10.14722/ndss.2018.23158.
4. Sysevr: A framework for using deep learning to detect software vulnerabilities;Li,2018
5. Software vulnerability discovery via learning multi-domain knowledge bases;Lin;IEEE Trans Dependable Secure Comput,2019
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